معلومات المقرر

Course Contents
This module provides an introduction to the concepts and application of artificial intelligence (AI) and related subfields (Learning, Planning, Decision-Making etc.). In addition to the development process of AI solutions and their operating principles, potentials as well as possible hurdles and challenges are presented and discussed. Main topics include concepts of the AI area and their application in certain application domains, combination and assurance of economic and technical requirements, structure and course of AI projects, fundamental procedures and methods (e.g., decision trees and neural networks) as well as their use for the realization of AI solutions.

The module includes a lecture to convey the theoretical concepts as well as accompanying exercises in which the concepts can be applied on the basis of practical questions (including AI development in Python and RapidMiner). In addition to the lectures, the participants work independently in project groups in cooperation with companies on an AI project to answer an analytical question and implement a corresponding AI solution. This enables the participants to transfer the theoretical contents to a concrete, practical application context.

This course consists of the following chapters:
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[*]Introduction into Artificial Intelligence
[*]Problem-solving Agents
[*]Introduction into AI-Programming with Python
[*]Data and Feature Engineering
[*]Knowledge Reasoning - Fundamental Algorithms and Concepts
[*]Machine Learning - Fundamental Algorithms and Concepts
[*]Artificial Neural Networks and Deep Learning
[*]Probabilistic Reasoning and Modelling - Fundamental Algorithms and Concepts
[*]Language and Image Processing - Fundamental Algorithms and Concepts
[*]Building Productive AI-based Systems
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Literature
 
[list]
[*]Rusell, S., & Norvig, P. Artificial intelligence: A modern approach
[*]Géron, A.: Hands-on machine learning with Scikit-Learn and TensorFlow: concepts, tools, and techniques to build intelligent systems
[*]Castillo, E., Gutierrez, J. M., & Hadi, A. S. Expert systems and probabilistic network models.
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Further literature will be announced in the lecture.